David J Birnbaum1, François Bertucci2, Pascal Finetti3, José Adélaïde3, Marc Giovannini4, Olivier Turrini5, Jean Robert Delpero5, Jean Luc Raoul6, Max Chaffanet3, Vincent Moutardier7, Daniel Birnbaum3, Emilie Mamessier8. 1. Department of Molecular Oncology UMR1068, Paoli-Calmettes Instituet, Marseille, France Department of Digestive Surgery, North Hospital, Marseille, France Aix-Marseille University, Marseille, France david.birnbaum10@gmail.com. 2. Department of Molecular Oncology UMR1068, Paoli-Calmettes Instituet, Marseille, France Aix-Marseille University, Marseille, France Department of Medical Oncology, Paoli-Calmettes Instituet, Marseille, France. 3. Department of Molecular Oncology UMR1068, Paoli-Calmettes Instituet, Marseille, France. 4. Department of Gastroenterology, Paoli-Calmettes Instituet, Marseille, France. 5. Aix-Marseille University, Marseille, France Department of Digestive and Oncologic Surgery, Marseille Research Center of Cancerology UMR1068, Paoli-Calmettes Instituet, Marseille, France. 6. Aix-Marseille University, Marseille, France Department of Medical Oncology, Paoli-Calmettes Instituet, Marseille, France. 7. Department of Digestive Surgery, North Hospital, Marseille, France Aix-Marseille University, Marseille, France. 8. Department of Molecular Oncology UMR1068, Paoli-Calmettes Instituet, Marseille, France Aix-Marseille University, Marseille, France.
Abstract
BACKGROUND/AIM: Individual molecular information might improve management of pancreatic adenocarcinoma. To identify actionable genes, at the transcriptional level, we investigated candidate genes that we had previously identified using array-comparative genomic hybridization (aCGH). MATERIALS AND METHODS: We collected 10 public gene-expression datasets, gathering a total of 524 pancreatic samples (105 normal and 419 malignant tissues). Based on our previous aCGH analysis, we searched for genes differentially expressed between normal and malignant samples and genes associated with survival. RESULTS: Among genes amplified/gained by aCGH, 48% were overexpressed in malignant tissues. The majority of these genes were related to apoptosis, cell-cycle regulation and differentiation. Among genes located in areas of loss, 41% were underexpressed in malignant tissues; most of them were involved in ion transport, homeostasis maintenance and fatty acid metabolism. Survival analysis identified genes significantly related to shorter (n=17) or longer (n=29) survival. CONCLUSION: Some of these genes can be further investigated as potential prognostic markers. Copyright
BACKGROUND/AIM: Individual molecular information might improve management of pancreatic adenocarcinoma. To identify actionable genes, at the transcriptional level, we investigated candidate genes that we had previously identified using array-comparative genomic hybridization (aCGH). MATERIALS AND METHODS: We collected 10 public gene-expression datasets, gathering a total of 524 pancreatic samples (105 normal and 419 malignant tissues). Based on our previous aCGH analysis, we searched for genes differentially expressed between normal and malignant samples and genes associated with survival. RESULTS: Among genes amplified/gained by aCGH, 48% were overexpressed in malignant tissues. The majority of these genes were related to apoptosis, cell-cycle regulation and differentiation. Among genes located in areas of loss, 41% were underexpressed in malignant tissues; most of them were involved in ion transport, homeostasis maintenance and fatty acid metabolism. Survival analysis identified genes significantly related to shorter (n=17) or longer (n=29) survival. CONCLUSION: Some of these genes can be further investigated as potential prognostic markers. Copyright
Authors: Seçil Demirkol Canlı; Ege Dedeoğlu; Muhammad Waqas Akbar; Barış Küçükkaraduman; Murat İşbilen; Özge Şükrüoğlu Erdoğan; Seda Kılıç Erciyas; Hülya Yazıcı; Burçak Vural; Ali Osmay Güre Journal: PLoS One Date: 2020-04-20 Impact factor: 3.240
Authors: Josefina Doffo; Stefanos A Bamopoulos; Hazal Köse; Felix Orben; Chuanbing Zang; Miriam Pons; Alexander T den Dekker; Rutger W W Brouwer; Apoorva Baluapuri; Stefan Habringer; Maximillian Reichert; Anuradha Illendula; Oliver H Krämer; Markus Schick; Elmar Wolf; Wilfred F J van IJcken; Irene Esposito; Ulrich Keller; Günter Schneider; Matthias Wirth Journal: Proc Natl Acad Sci U S A Date: 2022-03-01 Impact factor: 12.779